The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-23"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "15511157 (up from 15229740 yesterday: 1.85 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "633396 (up from 623443 yesterday: 1.6 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4641418

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.08



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4038748 68663 1.73 1298869 144304 1114 0.78 3.57
Brazil 2287475 59961 2.69 790617 84082 1311 1.58 3.68
India 1288108 49310 3.98 662564 30601 740 2.48 2.38
Russia 793720 5830 0.74 133489 12873 147 1.16 1.62
South Africa 408052 13104 3.32 239991 6093 153 2.58 1.49
Peru 371096 4546 1.24 79092 17654 3887 28.23 4.76
Mexico 370712 8438 2.33 132201 41908 718 1.74 11.30
Chile 338759 4076 1.22 54218 8838 161 1.86 2.61
United Kingdom 298731 779 0.26 13463 45639 53 0.12 15.28
Iran 284034 2621 0.93 51171 15074 221 1.49 5.31
Pakistan 270400 1209 0.45 48504 5763 54 0.95 2.13
Spain 270166 2615 0.98 20063 28429 3 0.01 10.52
Saudi Arabia 260394 2238 0.87 62786 2635 34 1.31 1.01
Italy 245338 306 0.12 4377 35092 10 0.03 14.30
Colombia 226373 7945 3.64 124112 7688 315 4.27 3.40
Turkey 223315 913 0.41 21031 5563 18 0.32 2.49
France 216667 1062 0.49 13027 30185 10 0.03 13.93
Bangladesh 216110 2856 1.34 62833 2801 50 1.82 1.30
Germany 204881 605 0.30 8511 9110 8 0.09 4.45
Argentina 148027 6127 4.32 78086 2702 114 4.40 1.83
Canada 114398 608 0.53 7755 8919 6 0.07 7.80
Qatar 108244 373 0.35 10347 164 1 0.61 0.15
Iraq 102226 2361 2.36 48518 4122 80 1.98 4.03
Indonesia 93657 1906 2.08 34263 4576 117 2.62 4.89
Egypt 90413 668 0.74 19114 4480 40 0.90 4.96
China 86045 139 0.16 1215 4649 1 0.02 5.40
Sweden 78763 259 0.33 8124 5676 9 0.16 7.21
Kazakhstan 78486 1687 2.20 35912 585 0 0.00 0.75
Ecuador 78148 891 1.15 18680 5439 21 0.39 6.96
Philippines 74390 2121 2.93 35585 1871 28 1.52 2.52
Oman 72646 1099 1.54 30091 355 6 1.72 0.49
Belarus 66688 167 0.25 3990 519 6 1.17 0.78
Bolivia 65252 1117 1.74 29724 2407 79 3.39 3.69
Belgium 64847 220 0.34 3249 9812 4 0.04 15.13
Ukraine 63169 874 1.40 16348 1570 17 1.09 2.49
Kuwait 61872 687 1.12 14013 421 4 0.96 0.68
United Arab Emirates 57988 254 0.44 8519 342 0 0.00 0.59
Israel 57982 1897 3.38 30935 442 12 2.79 0.76
Dominican Republic 57615 1572 2.80 23418 1006 1 0.10 1.75
Panama 56817 911 1.63 21580 1209 29 2.46 2.13
Netherlands 52640 165 0.31 2094 6158 0 0.00 11.70
Portugal 49379 229 0.47 6597 1705 3 0.18 3.45
Singapore 49098 354 0.73 4788 27 0 0.00 0.05
Guatemala 42192 1057 2.57 22120 1632 59 3.75 3.87
Poland 41580 418 1.02 6434 1651 9 0.55 3.97
Romania 41275 1112 2.77 13529 2126 25 1.19 5.15
Nigeria 38948 604 1.58 11838 833 20 2.46 2.14
Bahrain 37996 359 0.95 10159 134 4 3.08 0.35
Honduras 36902 800 2.22 15782 1011 5 0.50 2.74
Armenia 36162 469 1.31 9504 688 10 1.47 1.90
Afghanistan 35928 201 0.56 3906 1211 21 1.76 3.37
Switzerland 34000 117 0.35 2033 1975 3 0.15 5.81
Kyrgyzstan 31247 898 2.96 24480 1211 42 3.59 3.88
Ghana 29672 0 0.00 11538 153 0 0.00 0.52
Azerbaijan 28980 347 1.21 10296 391 6 1.56 1.35
Japan 28114 978 3.60 9059 992 2 0.20 3.53
Ireland 25826 7 0.03 337 1763 9 0.51 6.83
Algeria 25484 612 2.46 10827 1124 13 1.17 4.41
Serbia 22443 412 1.87 7248 508 9 1.80 2.26
Moldova 22105 307 1.41 4955 719 7 0.98 3.25
Austria 20099 170 0.85 2158 711 0 0.00 3.54
Uzbekistan 18986 607 3.30 9908 103 5 5.10 0.54
Morocco 18264 302 1.68 5295 292 7 2.46 1.60
Nepal 18241 147 0.81 3722 43 1 2.38 0.24
Cameroon 16522 0 0.00 3930 382 0 0.00 2.31
Kenya 15601 796 5.38 8660 263 3 1.15 1.69
Cote d’Ivoire 15001 268 1.82 5009 93 0 0.00 0.62
Czechia 14800 230 1.58 2622 365 1 0.27 2.47
Korea, South 13979 41 0.29 1012 298 1 0.34 2.13
Venezuela 13613 449 3.41 7340 129 5 4.03 0.95
Australia 13595 290 2.18 5529 139 6 4.51 1.02
Denmark 13594 40 0.30 579 612 1 0.16 4.50
El Salvador 13377 402 3.10 6377 372 9 2.48 2.78
Costa Rica 13129 768 6.21 9106 80 9 12.68 0.61
Ethiopia 11933 409 3.55 6087 197 9 4.79 1.65
Sudan 11237 0 0.00 1664 708 0 0.00 6.30

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 430773 9487 2.25 184223 8201 154 1.91 1.90 10902.27 207.56 1 in 92
New York 409697 811 0.20 14743 32594 36 0.11 7.96 21060.26 1675.48 1 in 47
Florida 389868 10249 2.70 220762 5518 173 3.24 1.42 18152.19 256.92 1 in 55
Texas 373037 9422 2.59 193900 4622 183 4.12 1.24 12865.17 159.40 1 in 78
New Jersey 177887 242 0.14 5531 15730 23 0.15 8.84 20027.38 1770.96 1 in 50
Illinois 168096 1621 0.97 24083 7560 20 0.27 4.50 13265.34 596.60 1 in 75
Georgia 156607 4305 2.83 68898 3361 26 0.78 2.15 14750.00 316.56 1 in 68
Arizona 152944 2335 1.55 65499 3063 89 2.99 2.00 20084.85 402.24 1 in 50
Massachusetts 114647 327 0.29 5309 8484 16 0.19 7.40 16497.15 1220.81 1 in 61
Pennsylvania 109037 850 0.79 16425 7093 16 0.23 6.51 8517.19 554.05 1 in 117
North Carolina 107125 1849 1.76 38909 1756 24 1.39 1.64 10213.97 167.43 1 in 98
Louisiana 101650 2296 2.31 40089 3574 16 0.45 3.52 21865.89 768.80 1 in 46
Tennessee 86987 2570 3.04 40097 925 37 4.17 1.06 12730.10 135.37 1 in 79
Michigan 84431 701 0.84 12753 6395 7 0.11 7.57 8454.21 640.34 1 in 118
Virginia 81237 844 1.05 17502 2054 3 0.15 2.53 9517.52 240.64 1 in 105
Maryland 80836 664 0.83 12413 3409 4 0.12 4.22 13370.87 563.87 1 in 75
Ohio 80186 1444 1.83 27321 3256 21 0.65 4.06 6859.90 278.55 1 in 146
South Carolina 76606 1564 2.08 36905 1334 49 3.81 1.74 14878.67 259.09 1 in 67
Alabama 74212 2399 3.34 34101 1397 33 2.42 1.88 15135.47 284.92 1 in 66
Indiana 59602 929 1.58 13215 2880 17 0.59 4.83 8853.25 427.79 1 in 113
Washington 50009 762 1.55 15858 1482 14 0.95 2.96 6567.26 194.62 1 in 152
Minnesota 48721 760 1.58 11511 1601 9 0.57 3.29 8639.04 283.88 1 in 116
Connecticut 48232 9 0.02 1586 4410 4 0.09 9.14 13528.22 1236.93 1 in 74
Mississippi 48053 982 2.09 19283 1436 13 0.91 2.99 16146.03 482.50 1 in 62
Wisconsin 45899 1052 2.35 16161 878 13 1.50 1.91 7883.13 150.80 1 in 127
Colorado 42295 615 1.48 8960 1786 15 0.85 4.22 7344.49 310.14 1 in 136
Iowa 40796 588 1.46 10537 820 6 0.74 2.01 12930.30 259.90 1 in 77
Nevada 39919 1262 3.26 20186 709 5 0.71 1.78 12960.06 230.18 1 in 77
Missouri 38060 1563 4.28 15424 1189 30 2.59 3.12 6201.29 193.73 1 in 161
Arkansas 36259 1013 2.87 14184 386 6 1.58 1.06 12014.94 127.91 1 in 83
Utah 36099 521 1.46 12829 267 7 2.69 0.74 11259.97 83.28 1 in 89
Oklahoma 27969 671 2.46 13438 477 3 0.63 1.71 7068.29 120.55 1 in 141
Kentucky 25147 607 2.47 9068 684 7 1.03 2.72 5628.66 153.10 1 in 178
Kansas 23956 475 2.02 8954 322 1 0.31 1.34 8222.94 110.53 1 in 122
Nebraska 23818 332 1.41 4366 316 5 1.61 1.33 12312.81 163.36 1 in 81
New Mexico 18163 335 1.88 5643 596 5 0.85 3.28 8662.13 284.24 1 in 115
Rhode Island 18148 86 0.48 1207 1001 4 0.40 5.52 17131.08 944.91 1 in 58
Idaho 16737 415 2.54 10144 138 3 2.22 0.82 9339.50 77.01 1 in 107
Oregon 15713 320 2.08 6419 273 2 0.74 1.74 3725.46 64.73 1 in 268
Delaware 13924 132 0.96 2193 529 2 0.38 3.80 14299.15 543.25 1 in 70
Puerto Rico 13473 435 3.34 5865 188 3 1.62 1.40 4218.63 58.87 1 in 237
District of Columbia 11571 42 0.36 1181 581 1 0.17 5.02 16395.35 823.24 1 in 61
South Dakota 8143 66 0.82 1250 121 2 1.68 1.49 9204.68 136.78 1 in 109
New Hampshire 6318 23 0.37 496 405 3 0.75 6.41 4646.58 297.86 1 in 215
North Dakota 5493 126 2.35 1836 97 1 1.04 1.77 7208.07 127.29 1 in 139
West Virginia 5452 240 4.60 2399 102 1 0.99 1.87 3050.67 57.07 1 in 328
Maine 3737 15 0.40 409 118 0 0.00 3.16 2780.07 87.78 1 in 360
Montana 2909 97 3.45 1826 43 1 2.38 1.48 2721.80 40.23 1 in 367
Wyoming 2347 59 2.58 797 25 0 0.00 1.07 4055.23 43.20 1 in 247
Alaska 2193 62 2.91 1179 19 0 0.00 0.87 2997.77 25.97 1 in 334
Hawaii 1490 55 3.83 544 26 1 4.00 1.74 1052.36 18.36 1 in 950
Vermont 1377 11 0.81 150 56 0 0.00 4.07 2206.77 89.75 1 in 453

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 6778304 430773 6.36 2439586 184223 7.55 171549.55
2 New York 5368338 409697 7.63 1326745 14743 1.11 275956.57
3 Florida 3210942 389868 12.14 1178759 220762 18.73 149500.95
4 Texas 3164656 373037 11.79 1188853 193900 16.31 109141.57
5 New Jersey 1859638 177887 9.57 395725 5531 1.40 209367.06
6 Illinois 2389368 168096 7.04 752260 24083 3.20 188557.59
7 Georgia 1336938 156607 11.71 453699 68898 15.19 125919.26
8 Arizona 822713 152944 18.59 261874 65499 25.01 108039.99
9 Massachusetts 1070062 114647 10.71 203804 5309 2.60 153976.77
10 Pennsylvania 1085617 109037 10.04 295344 16425 5.56 84800.65
11 North Carolina 1523675 107125 7.03 552555 38909 7.04 145276.77
12 Louisiana 1174868 101650 8.65 407494 40089 9.84 252725.33
13 Tennessee 1295985 86987 6.71 457531 40097 8.76 189660.76
14 Michigan 1586724 84431 5.32 501587 12753 2.54 158881.22
15 Virginia 972200 81237 8.36 297944 17502 5.87 113900.51
16 Maryland 789041 80836 10.24 235866 12413 5.26 130513.19
17 Ohio 1245026 80186 6.44 453021 27321 6.03 106511.71
18 South Carolina 618474 76606 12.39 217073 36905 17.00 120122.03
19 Alabama 619527 74212 11.98 199799 34101 17.07 126351.95
20 Indiana 666283 59602 8.95 169448 13215 7.80 98969.30
21 Washington 855152 50009 5.85 283188 15858 5.60 112299.94
22 Minnesota 905315 48721 5.38 274888 11511 4.19 160527.32
23 Connecticut 687888 48232 7.01 198682 1586 0.80 192940.43
24 Mississippi 404012 48053 11.89 104973 19283 18.37 135749.92
25 Wisconsin 828511 45899 5.54 231756 16161 6.97 142296.33
26 Colorado 465411 42295 9.09 132156 8960 6.78 80818.26
27 Iowa 436286 40796 9.35 118748 10537 8.87 138280.93
28 Nevada 414136 39919 9.64 129408 20186 15.60 134452.93
29 Missouri 603284 38060 6.31 205966 15424 7.49 98295.90
30 Arkansas 446480 36259 8.12 122493 14184 11.58 147947.61
31 Utah 485422 36099 7.44 139036 12829 9.23 151412.46
32 Oklahoma 513175 27969 5.45 160125 13438 8.39 129688.85
33 Kentucky 524795 25147 4.79 139001 9068 6.52 117464.95
34 Kansas 268686 23956 8.92 85513 8954 10.47 92226.93
35 Nebraska 245573 23818 9.70 62911 4366 6.94 126949.95
36 New Mexico 489334 18163 3.71 139274 5643 4.05 233368.58
37 Rhode Island 189339 18148 9.58 -58929 1207 -2.05 178729.44
38 Idaho 156826 16737 10.67 61705 10144 16.44 87511.33
39 Oregon 358491 15713 4.38 107437 6419 5.97 84996.05
40 Delaware 162351 13924 8.58 47433 2193 4.62 166725.20
42 District of Columbia 162021 11571 7.14 60958 1181 1.94 229573.12
43 South Dakota 102536 8143 7.94 20595 1250 6.07 115904.55
44 New Hampshire 146879 6318 4.30 26572 496 1.87 108022.22
45 North Dakota 140816 5493 3.90 32621 1836 5.63 184782.87
46 West Virginia 251072 5452 2.17 72731 2399 3.30 140487.60
47 Maine 147675 3737 2.53 46858 409 0.87 109859.90
48 Montana 146218 2909 1.99 51069 1826 3.58 136808.58
49 Wyoming 48169 2347 4.87 12926 797 6.17 83228.08
50 Alaska 189509 2193 1.16 73600 1179 1.60 259053.10
51 Hawaii 108813 1490 1.37 28523 544 1.91 76852.29
52 Vermont 86582 1377 1.59 19241 150 0.78 138755.65

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 357117 19510 5.78 199967 55.99 143714 13132 576 4.59 3.68
Tamil Nadu 199749 13257 7.11 143297 71.74 53132 3320 176 5.60 1.66
Delhi 128389 2066 1.64 110931 86.40 13681 3777 58 1.56 2.94
Karnataka 85870 10037 13.24 31347 36.51 52788 1726 207 13.63 2.01
Andhra Pradesh 80858 16145 24.95 39935 49.39 39990 933 110 13.37 1.15
Uttar Pradesh 60771 5183 9.32 37712 62.06 21711 1348 85 6.73 2.22
West Bengal 53973 4652 9.43 33529 62.12 19154 1290 69 5.65 2.39
Gujarat 53631 2146 4.17 38931 72.59 12418 2282 54 2.42 4.26
Telangana 52466 3207 6.51 40334 76.88 11677 455 17 3.88 0.87
Rajasthan 34178 1844 5.70 24547 71.82 9029 602 19 3.26 1.76
Bihar 33511 3445 11.46 22832 68.13 10457 221 13 6.25 0.66
Assam 29922 2177 7.85 21762 72.73 8081 76 10 15.15 0.25
Haryana 29755 1569 5.57 22953 77.14 6420 382 10 2.69 1.28
Madhya Pradesh 26210 1368 5.51 17866 68.16 7553 791 21 2.73 3.02
Odisha 22693 2858 14.41 15201 66.99 7339 153 14 10.07 0.67
Kerala 16996 1963 13.06 7562 44.49 9371 55 9 19.57 0.32
Jammu and Kashmir 16782 1071 6.82 9217 54.92 7269 296 23 8.42 1.76
Punjab 12216 915 8.10 8096 66.27 3838 282 13 4.83 2.31
Jharkhand 7564 882 13.20 3354 44.34 4134 76 12 18.75 1.00
Chhattisgarh 6819 820 13.67 4567 66.97 2216 36 7 24.14 0.53
Uttarakhand 5717 417 7.87 3441 60.19 2176 62 5 8.77 1.08
Goa 4540 364 8.72 2865 63.11 1646 29 1 3.57 0.64
Tripura 3783 312 8.99 2131 56.33 1624 10 1 11.11 0.26
Puducherry 2515 215 9.35 1483 58.97 997 35 4 12.90 1.39
Manipur 2146 86 4.17 1491 69.48 655 0 0 NaN 0.00
Himachal Pradesh 1954 229 13.28 1145 58.60 782 12 1 9.09 0.61
Ladakh 1246 40 3.32 1035 83.07 209 2 0 0.00 0.16
Nagaland 1239 155 14.30 537 43.34 702 0 0 NaN 0.00
Arunachal Pradesh 1056 107 11.28 392 37.12 661 3 0 0.00 0.28
Dadra and Nagar Haveli and Daman and Diu 864 89 11.48 531 61.46 321 2 0 0.00 0.23
Chandigarh 823 43 5.51 535 65.01 275 13 0 0.00 1.58
Meghalaya 588 74 14.40 87 14.80 496 5 1 25.00 0.85
Sikkim 490 39 8.65 137 27.96 340 0 0 NaN 0.00
Mizoram 332 15 4.73 183 55.12 149 0 0 NaN 0.00
Andaman and Nicobar Islands 259 38 17.19 174 67.18 84 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1232915 95715 82 0.09 7.76 139 17 6941 16801 17.55
Piemonte 478882 31567 9 0.03 6.59 144 6 785 4123 13.06
Emilia-Romagna 597289 29350 55 0.19 4.91 79 6 1350 4281 14.59
Veneto 1149084 19729 22 0.11 1.72 28 2 657 2062 10.45
Toscana 401479 10394 4 0.04 2.59 14 1 328 1131 10.88
Liguria 177278 10139 15 0.15 5.72 29 0 199 1566 15.45
Lazio 397055 8498 26 0.31 2.14 180 9 907 856 10.07
Marche 159476 6815 1 0.01 4.27 2 1 137 987 14.48
P.A. Trento 144277 4941 30 0.61 3.42 2 0 71 405 8.20
Campania 318303 4874 16 0.33 1.53 35 1 329 434 8.90
Puglia 223789 4565 9 0.20 2.04 11 0 64 548 12.00
Friuli Venezia Giulia 234588 3363 3 0.09 1.43 7 1 97 345 10.26
Abruzzo 122303 3352 10 0.30 2.74 8 2 115 470 14.02
Sicilia 257971 3158 5 0.16 1.22 10 3 163 283 8.96
P.A. Bolzano 98178 2686 1 0.04 2.74 6 0 89 292 10.87
Umbria 115059 1463 2 0.14 1.27 6 0 17 80 5.47
Sardegna 101231 1382 2 0.14 1.37 7 0 14 134 9.70
Calabria 113791 1245 2 0.16 1.09 3 0 77 97 7.79
Valle d’Aosta 20668 1196 0 0.00 5.79 1 0 1 146 12.21
Molise 26334 459 9 2.00 1.74 0 0 17 23 5.01
Basilicata 45091 447 3 0.68 0.99 2 0 46 28 6.26

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 58080 142 0.25 5662 0 0.00 9.75 6802.79 663.18 1 in 147
Ontario 39936 112 0.28 2799 0 0.00 7.01 2714.55 190.26 1 in 368
Alberta 9975 247 2.54 176 4 2.33 1.76 2260.29 39.88 1 in 442
British Columbia 3392 64 1.92 190 1 0.53 5.60 663.68 37.18 1 in 1507
Saskatchewan 1072 42 4.08 16 1 6.67 1.49 907.19 13.54 1 in 1102
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Manitoba 375 1 0.27 7 0 0.00 1.87 272.23 5.08 1 in 3673
Newfoundland and Labrador 264 0 0.00 3 0 0.00 1.14 506.36 5.75 1 in 1975
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 13 0 0.00 0 0 NaN 0.00 316.47 0.00 1 in 3160
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 2249 15 0.67
Guangdong 1667 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 798 7 0.88
Shanghai 739 7 0.95
Jiangsu 655 0 0.00
Sichuan 603 3 0.50
Chongqing 583 6 1.03
Fujian 364 1 0.27
Hebei 349 6 1.72
Shaanxi 323 3 0.93
Guangxi 255 2 0.78
Inner Mongolia 250 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 189 2 1.06
Hainan 171 6 3.51
Xinjiang 171 3 1.75
Gansu 167 2 1.20
Liaoning 167 2 1.20
Jilin 155 2 1.29
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 12343.36 441.03 1 in 81
Brazil 10929.17 401.73 1 in 91
India 961.99 22.85 1 in 1040
Russia 5492.87 89.09 1 in 182
South Africa 7194.15 107.42 1 in 139
Peru 11535.47 548.77 1 in 87
Mexico 2869.29 324.37 1 in 349
Chile 18767.81 489.64 1 in 53
United Kingdom 4496.25 686.92 1 in 222
Iran 3499.68 185.73 1 in 286
Pakistan 1372.59 29.25 1 in 729
Spain 5790.10 609.28 1 in 173
Saudi Arabia 7905.10 79.99 1 in 127
Italy 4056.51 580.22 1 in 247
Colombia 4613.27 156.67 1 in 217
Turkey 2763.46 68.84 1 in 362
France 3234.32 450.59 1 in 309
Bangladesh NA NA 1 in NA
Germany 2474.71 110.04 1 in 404
Argentina 3343.73 61.03 1 in 299

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 222832 23463 10.53
Los Angeles California 166868 4263 2.55
Maricopa Arizona 102247 1651 1.61
Cook Illinois 100795 4810 4.77
Miami-Dade Florida 95068 1354 1.42
Harris Texas 61411 597 0.97
Broward Florida 45010 536 1.19
Dallas Texas 44087 579 1.31
Nassau New York 42816 2193 5.12
Suffolk New York 42715 1995 4.67
Westchester New York 35667 1443 4.05
Bexar Texas 34663 298 0.86
Clark Nevada 34209 580 1.70
Riverside California 32813 637 1.94
Orange California 32648 543 1.66
Philadelphia Pennsylvania 29102 1675 5.76
Palm Beach Florida 28267 727 2.57
San Bernardino California 26185 358 1.37
Wayne Michigan 25649 2788 10.87
San Diego California 25608 512 2.00
Hillsborough Florida 25432 278 1.09
Orange Florida 25254 156 0.62
Middlesex Massachusetts 25123 1951 7.77
Tarrant Texas 23967 319 1.33
Prince George’s Maryland 21038 725 3.45
Suffolk Massachusetts 20732 1042 5.03
Bergen New Jersey 20133 2034 10.10
Hudson New Jersey 19289 1494 7.75
Essex New Jersey 19198 2094 10.91
Travis Texas 18696 222 1.19
Mecklenburg North Carolina 18403 181 0.98
Duval Florida 18357 113 0.62
Middlesex New Jersey 17442 1396 8.00
Salt Lake Utah 17353 152 0.88
Shelby Tennessee 17278 260 1.50
Passaic New Jersey 17214 1238 7.19
Milwaukee Wisconsin 17197 422 2.45
Fairfield Connecticut 17184 1401 8.15
Davidson Tennessee 16956 179 1.06
Essex Massachusetts 16856 1157 6.86
Montgomery Maryland 16654 781 4.69
Union New Jersey 16297 1343 8.24
Hennepin Minnesota 15537 804 5.17
Fairfax Virginia 15126 511 3.38
Franklin Ohio 14993 484 3.23
Fulton Georgia 14673 356 2.43
Gwinnett Georgia 14442 209 1.45
Pinellas Florida 14371 364 2.53
Pima Arizona 14143 405 2.86
Providence Rhode Island 14033 0 0.00
King Washington 13835 638 4.61
Rockland New York 13820 673 4.87
Hidalgo Texas 13776 400 2.90
Lee Florida 13768 247 1.79
Oakland Michigan 13711 1122 8.18
Marion Indiana 13245 711 5.37
Worcester Massachusetts 12972 974 7.51
Jefferson Louisiana 12945 507 3.92
New Haven Connecticut 12835 1093 8.52
Out of GA Georgia 12731 72 0.57
El Paso Texas 12501 211 1.69
Kern California 12323 115 0.93
Hartford Connecticut 12145 1408 11.59
Fresno California 11756 104 0.88
District of Columbia District of Columbia 11571 581 5.02
Cuyahoga Ohio 11206 435 3.88
Lake Illinois 11159 438 3.93
Orange New York 10968 489 4.46
DuPage Illinois 10627 502 4.72
Polk Florida 10545 203 1.93
DeKalb Georgia 10480 199 1.90
Baltimore Maryland 10345 520 5.03
Charleston South Carolina 10134 120 1.18
Ocean New Jersey 10074 1012 10.05
Nueces Texas 9961 124 1.24
St. Louis Missouri 9944 626 6.30
Alameda California 9869 173 1.75
Norfolk Massachusetts 9849 974 9.89
Baltimore City Maryland 9842 392 3.98
San Joaquin California 9826 107 1.09
Yuma Arizona 9794 210 2.14
Monmouth New Jersey 9748 851 8.73
Orleans Louisiana 9649 546 5.66
Jefferson Alabama 9552 197 2.06
Cobb Georgia 9380 276 2.94
Wake North Carolina 9377 99 1.06
Yakima Washington 9367 194 2.07
Montgomery Pennsylvania 9311 842 9.04
Douglas Nebraska 9180 121 1.32
East Baton Rouge Louisiana 9169 301 3.28
Greenville South Carolina 8965 142 1.58
Plymouth Massachusetts 8940 701 7.84
Imperial California 8919 170 1.91
Denver Colorado 8809 403 4.57
Bristol Massachusetts 8788 615 7.00
Polk Iowa 8786 191 2.17
Macomb Michigan 8649 936 10.82
Kane Illinois 8544 294 3.44
Santa Clara California 8533 181 2.12
Collier Florida 8401 114 1.36

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc